Interpretable machine learning models for predicting the incidence of antibiotic- associated diarrhea in elderly ICU patients.

BACKGROUND: Antibiotic-associated diarrhea (AAD) can prolong hospitalization, increase medical costs, and even lead to higher mortality rates. Therefore, it is essential to predict the incidence of AAD in elderly intensive care unit(ICU) patients. The objective of this study was to create a prediction model that is both interpretable and generalizable for predicting the incidence of AAD in elderly ICU patients. METHODS: We retrospectively analyzed data from the First Medical Center of the People's Liberation Army General Hospital (PLAGH) in China. We utilized the machine learning model Extreme Gradient Boosting (XGBoost) and Shapley's additive interpretation method to predict the incidence of AAD in elderly ICU patients in an interpretable manner. RESULTS: A total of 848 adult ICU patients were eligible for this study. The XGBoost model predicted the incidence of AAD with an area under the receiver operating characteristic curve (ROC) of 0.917, sensitivity of 0.889, specificity of 0.806, accuracy of 0.870, and an F1 score of 0.780. The XGBoost model outperformed the other models, including logistic regression, support vector machine (AUC = 0.809), K-nearest neighbor algorithm (AUC = 0.872), and plain Bayes (AUC = 0.774). CONCLUSIONS: While the XGBoost model may not excel in absolute performance, it demonstrates superior predictive capabilities compared to other models in forecasting the incidence of AAD in elderly ICU patients categorized based on their characteristics.

Design and synthesis of benzodiazepines as brain penetrating PARP-1 inhibitors.

The poly (ADP-ribose) polymerase (PARP) inhibitors play a crucial role in cancer therapy. However, most approved PARP inhibitors cannot cross the blood-brain barrier, thus limiting their application in the central nervous system. Here, 55 benzodiazepines were designed and synthesised to screen brain penetrating PARP-1 inhibitors. All target compounds were evaluated for their PARP-1 inhibition activity, and compounds with better activity were selected for further assays in vitro. Among them, compounds H34, H42, H48, and H52 displayed acceptable inhibition effects on breast cancer cells. Also, computational prediction together with the permeability assays in vitro and in vivo proved that the benzodiazepine PARP-1 inhibitors we synthesised were brain permeable. Compound H52 exhibited a B/P ratio of 40 times higher than that of Rucaparib and would be selected to develop its potential use in neurodegenerative diseases. Our study provided potential lead compounds and design strategies for the development of brain penetrating PARP-1 inhibitors.HIGHLIGHTSStructural fusion was used to screen brain penetrating PARP-1 inhibitors.55 benzodiazepines were evaluated for their PARP-1 inhibition activity.Four compounds displayed acceptable inhibition effects on breast cancer cells.The benzodiazepine PARP-1 inhibitors were proved to be brain permeable.

Association of sudomotor dysfunction with risk of diabetic retinopathy in patients with type 2 diabetes.

PURPOSE: Sudomotor dysfunction is considered as one of the earliest manifestations of diabetic peripheral neuropathy. We aimed to investigate the association between sudomotor dysfunction non-invasively detected by the SUDOSCAN device and diabetic retinopathy (DR) in patients with type 2 diabetes. METHODS: A total of 2010 patients admitted to a tertiary hospital located in Shanghai were included from March 2020 to September 2023. Sudomotor function was assessed by the SUDOSCAN device, and sudomotor dysfunction was defined as feet electrochemical skin conductance (FESC) <60 µs. Fundus radiography was used for DR assessment, which was graded according to the severity, specifically: (1) non-DR; (2) mild nonproliferative DR (NPDR); (3) moderate NPDR/vision-threatening DR (VTDR). RESULTS: Among the enrolled 2010 patients, 525 patients had sudomotor dysfunction; 648 were diagnosed with DR, which was equivalent to 32.2% of all patients. Patients with sudomotor dysfunction had a significantly higher prevalence of DR, compared to those with normal sudomotor function (40.8% vs. 29.2%, P < 0.05). After controlling for confounding factors including HbA1c, sudomotor dysfunction was significantly associated with any DR (odd ratio [OR] = 1.57, 95% CI 1.26-1.96). When FESC was considered as a continuous variable, the multivariable-adjusted OR of DR was 1.29 (95% CI 1.17-1.42) for per 1-SD decrease in FESC. Furthermore, multinomial logistic regression revealed significant associations between sudomotor dysfunction and all stages of DR (mild NPDR: OR = 1.40, 95% CI 1.11-1.78; moderate NPDR/VTDR: OR = 2.35, 95% CI 1.60-3.46). CONCLUSIONS: Sudomotor dysfunction was significantly associated with DR in patients with type 2 diabetes.

[Mechanism of regulatory T cells in heat stroke-induced acute kidney injury].

OBJECTIVE: To investigate the mechanism of regulatory T cells (Treg) in heat stroke (HS)-induced acute kidney injury (AKI). METHODS: Male SPF Balb/c mice were randomly divided into control group, HS group (HS+Rat IgG), HS+PC61 group, and HS+Treg group (n = 6). The HS mice model was established by making the body temperature of the mice reach 42.7 centigrade at room temperature 39.5 centigrade with relative humidity 60% for 1 hour. In HS+PC61 group, 100 µg PC61 antibody (anti-CD25) was injected through the tail vein in consecutive 2 days before the model was established to eliminate Tregs. Mice in HS+Treg group was injected with 1×106 Treg via tail vein immediately after successful modeling. The proportion of Treg infiltrated in the kidney, serum creatinine (SCr) and histopathology, levels of interferon-γ (IFN-γ) and tumor necrosis factor-α (TNF-α) both in the serum and kidney tissue, as well as proportion of neutrophils and macrophages located in the kidney were observed at 24 hours after HS. RESULTS: HS dampened renal function and exaggerated kidney injury, up-regulated levels of inflammatory cytokines both in local kidney and circulation, and increased infiltration of neutrophils and macrophages to the injured kidneys. The proportion of Treg (Treg/CD4+) infiltrated in kidney was significantly decreased in HS group, compared with control group [(3.40±0.46)% vs. (7.67±0.82)%, P < 0.01]. Compared with HS group, local Tregs in kidney were almost completely depleted via PC61 antibody [(0.77±0.12)% vs. (3.40±0.46)%, P < 0.01]. Depletion of Tregs could exacerbate HS-AKI, indicating by increased serum creatinine [SCr (mmol/L): 348.22±35.36 vs. 254.42±27.40, P < 0.01] and pathological injury (Paller score: 4.70±0.20 vs. 3.60±0.20, P < 0.01), incremental levels of IFN-γand TNF-α both in injured kidney and serum [serum IFN-γ (ng/L): 747.70±64.52 vs. 508.46±44.79, serum TNF-α (ng/L): 647.41±26.62 vs. 464.53±41.80, both P < 0.01], and more infiltrated neutrophils and macrophages in the injured kidney [neutrophil proportion: (6.63±0.67)% vs. (4.37±0.43)%, macrophage proportion: (38.70±1.66)% vs. (33.19±1.55)%, both P < 0.01]. On the contrast, adoptive transfer of Tregs could reverse the aforementioned effects of Treg depletion, indicating by incremental proportion of Tregs in the injured kidney [(10.58±1.19)% vs. (3.40±0.46)%, P < 0.01], decreased serum creatinine [SCr (mmol/L): 168.24±40.56 vs. 254.42±27.40, P < 0.01] and pathological injury (Paller score: 2.73±0.11 vs. 3.60±0.20, P < 0.01), reduced levels of IFN-γ and TNF-α both in injured kidney and serum [serum IFN-γ (ng/L): 262.62±22.68 vs. 508.46±44.79, serum TNF-α (ng/L): 206.41±22.58 vs. 464.53±41.80, both P < 0.01], and less infiltrated neutrophils and macrophages in the injured kidney [neutrophil proportion: (3.04±0.33)% vs. (4.37±0.43)%, macrophage proportion: (25.68±1.93)% vs. (33.19±1.55)%, both P < 0.01]. CONCLUSIONS: Treg might be involved in HS-AKI, possibly via down-regulation of pro-inflammatory cytokines and infiltration of inflammatory cells.

Intelligent Intensive Care Unit: Current and Future Trends.

There is a growing demand for intensive care units, but there is a relative shortage of medical staff. Intensive care work is heavy and stressful. Optimizing the working conditions and processes of the intensive care unit is of great significance for improving the work efficiency and the level of diagnosis and treatment in the intensive care unit. The intelligent intensive care unit is a new ward management model gradually developed on the basis of modern science and technology such as communication technology, internet of things, artificial intelligence, robots, and big data. Under this model, the potential risks caused by human factors are greatly reduced, and the monitoring and treatment of patients has been significantly improved. This paper reviews the progress in related fields.

Activation of glucagon-like peptide-1 receptor in microglia exerts protective effects against sepsis-induced encephalopathy via attenuating endoplasmic reticulum stress-associated inflammation and apoptosis in a mouse model of sepsis.

Sepsis-induced encephalopathy (SAE) is a detrimental complication in patients with severe sepsis, while there is still no effective treatment. Previous studies have elucidated the neuroprotective effects of glucagon-like peptide-1 receptor (GLP-1R) agonists. However, the role of GLP-1R agonists in the pathological process of SAE is unclear. Here, we found that GLP-1R was up-regulated in the microglia of septic mice. The activation of GLP-1R with Liraglutide could inhibit endoplasmic reticulum stress (ER stress) and associated inflammatory response as well as apoptosis triggered by LPS or tunicamycin (TM) in BV2 cells. In vivo experiments confirmed the benefits of Liraglutide in the regulation of microglial activation, ER stress, inflammation, and apoptosis in the hippocampus of septic mice. Additionally, the survival rate and cognitive dysfunction of septic mice were also improved after Liraglutide administration. Mechanically, cAMP/PKA/CREB signaling is involved in the protection of ER stress-induced inflammation and apoptosis in cultured microglial cells under LPS or TM stimulations. In conclusion, we speculated that GLP-1/GLP-1R activation in microglia might be a potential therapeutic target for the treatment of SAE.

Assessing mammal population densities in response to urbanization using camera trap distance sampling.

Environmental filtering is deemed to play a predominant role in regulating the abundance and distribution of animals during the urbanization process. However, the current knowledge about the effects of urbanization on the population densities of terrestrial mammals is limited. In this study, we compared two invasive mammals (dogs Canis lupus familiaris and cats Felis silvestris) and three indigenous mammals (Siberian weasels Mustela sibirica, Amur hedgehogs Erinaceus amurensis, and Tolai hares Lepus tolai) in response to urbanization using camera trap distance sampling (CTDS) in the rural-urban landscape of Tianjin, China. We used generalized additive mixed models (GAMMs) to test the specific responses of their densities to levels of urbanization. Invasive dogs (2.63 individuals/km2, 95% CI: 0.91-7.62) exhibited similar density estimations to cats (2.15 individuals/km2, 95% CI: 1.31-3.50). Amur hedgehogs were the most abundant species (6.73 individuals/km2, 95% CI: 3.15-14.38), followed by Tolai hares (2.22 individuals/km2, 95% CI: 0.87-5.68) and Siberian weasels (2.15 individuals/km2, 95% CI: 1.06-4.36). The densities of cats, Siberian weasels, and Amur hedgehogs increased with the level of urbanization. The population densities of dogs and cats were only influenced by urban-related variables, while the densities of Siberian weasels and Amur hedgehogs were influenced by both urban-related variables and nature-related variables. Our findings highlight that the CTDS is a suitable and promising method for wildlife surveys in rural-urban landscapes, and urban wildlife management needs to consider the integrated repercussions of urban- and nature-related factors, especially the critical impacts of green space habitats at finer scales.

Chinese experts' consensus on the application of intensive care big data.

The development of intensive care medicine is inseparable from the diversified monitoring data. Intensive care medicine has been closely integrated with data since its birth. Critical care research requires an integrative approach that embraces the complexity of critical illness and the computational technology and algorithms that can make it possible. Considering the need of standardization of application of big data in intensive care, Intensive Care Medicine Branch of China Health Information and Health Care Big Data Society, Standard Committee has convened expert group, secretary group and the external audit expert group to formulate Chinese Experts' Consensus on the Application of Intensive Care Big Data (2022). This consensus makes 29 recommendations on the following five parts: Concept of intensive care big data, Important scientific issues, Standards and principles of database, Methodology in solving big data problems, Clinical application and safety consideration of intensive care big data. The consensus group believes this consensus is the starting step of application big data in the field of intensive care. More explorations and big data based retrospective research should be carried out in order to enhance safety and reliability of big data based models of critical care field.

Structure-based design, synthesis, and evaluation of inhibitors with high selectivity for PARP-1 over PARP-2.

The poly (ADP-ribose) polymerase (PARP) inhibitors play a crucial role in cancer therapy. However, most approved PARP inhibitors have lower selectivity to PARP-1 than to PARP-2, so they will inevitably have side effects. Based on the different catalytic domains of PARP-1 and PARP-2, we developed a strategy to design and synthesize highly selective PARP-1 inhibitors. Compounds Y17, Y29, Y31 and Y49 showed excellent PARP-1 inhibition, and their IC50 values were 0.61, 0.66, 0.41 and 0.96 nM, respectively. Then, Y49 (PARP-1 IC50 = 0.96 nM, PARP-2 IC50 = 61.90 nM, selectivity PARP-2/PARP-1 = 64.5) was proved to be the most selective inhibitor of PARP-1. Compounds Y29 and Y49 showed stronger inhibitory effect on proliferation in BRCA1 mutant MX-1 cells than in other cancer cells. In the MDA-MB-436 xenotransplantation model, Y49 was well tolerated and showed remarkable single dose activity. The design strategy proposed in this paper is of far-reaching significance for the further construction of the next generation of selective PARP-1 inhibitors.

Unilateral Silver-Loaded Silk Fibroin Difunctional Membranes as Antibacterial Wound Dressings.

Silk fibroin (SF) has been widely used as wound dressings due to its good biocompatibility. To enhance the antibacterial properties of the dressings, silver (Ag) is often added. However, an overdose of Ag may cause cytotoxicity and inhibit wound healing. Therefore, this study aimed to develop a two-layered membrane to reduce cytotoxicity while maintaining the antibacterial properties of Ag through a simplified layer-by-layer technique. The membranes comprised an Ag-rich SF layer (Ag-SF) and a pure SF layer. The unilateral Ag-loaded membranes showed efficient antibacterial properties at doses above 0.06 mg/mL Ag, and the antibacterial properties were comparable on both sides. In contrast, the SF sides of the membranes showed lower cytotoxicity than the Ag-SF sides of the membranes. Further studies on the thickness ratio of Ag-SF/SF layers revealed that Ag0.12-SF/SF membranes with a ratio of 1:3 had high cytocompatibility on the SF sides while holding a strong antibacterial property. Besides, the SF sides of the Ag0.12-SF/SF1:3 membranes promoted the expression levels of collagen I and transforming growth factor-ß mRNA in human foreskin fibroblasts. The SF sides of the Ag0.12-SF/SF1:3 membranes significantly promoted the healing of infected wounds in vivo. Therefore, unilateral loading with the simplified layer-by-layer preparation technique provided an effective method to balance the cytotoxicity and the antibacterial property of Ag-loaded materials and thus form a broader therapeutic window for Ag applications. The unilateral Ag-loaded silk fibroin difunctional membranes have the potential to be further preclinically explored as wound dressings.

6-Bromoindirubin-3'-oxime Promotes Osteogenic Differentiation of Periodontal Ligament Stem Cells and Facilitates Bone Regeneration in a Mouse Periodontitis Model.

Effective bone tissue engineering is important to overcome the unmet clinical challenges of periodontal tissue regeneration. Successful bone tissue engineering comprises three key factors: stem cells, growth factors, and scaffolds. 6-Bromoindirubin-3'-oxime (BIO) is an inhibitor of glycogen synthase kinase-3 (GSK-3) that can activate the Wnt signaling pathway by enhancing ß-catenin activity. In this study, the effects of BIO on the proliferation, migration, and osteogenic differentiation of periodontal ligament stem cells (PDLSCs) were investigated. Poly(lactic-co-glycolic acid) (PLGA) and hyaluronic acid (HA) emerged as promising biomaterials; thus, we developed a novel HA hydrogel embedded with BIO-encapsulated PLGA microspheres and injected the formulation into the gingival sulcus of mice with experimental periodontitis. The release speed of this system was fast in the first week and followed a sustained release phase until week 4. In vivo experiments showed that this PLGA-BIO-HA hydrogel system can inhibit periodontal inflammation, promote bone regeneration, and induce the expression of bone-forming markers alkaline phosphatase (ALP), runt-related transcription factor 2 (Runx2), and osteocalcin (OCN) in a mouse periodontitis model. Therefore, this PLGA-BIO-HA hydrogel system provides a promising therapeutic strategy for periodontal bone regeneration.

Nociceptor-localized cGMP-dependent protein kinase I is a critical generator for central sensitization and neuropathic pain.

Patients with neuropathic pain often experience exaggerated pain and anxiety. Central sensitization has been linked with the maintenance of neuropathic pain and may become an autonomous pain generator. Conversely, emerging evidence accumulated that central sensitization is initiated and maintained by ongoing nociceptive primary afferent inputs. However, it remains elusive what mechanisms underlie this phenomenon and which peripheral candidate contributes to central sensitization that accounts for pain hypersensitivity and pain-related anxiety. Previous studies have implicated peripherally localized cGMP-dependent protein kinase I (PKG-I) in plasticity of nociceptors and spinal synaptic transmission as well as inflammatory hyperalgesia. However, whether peripheral PKG-I contributes to cortical plasticity and hence maintains nerve injury-induced pain hypersensitivity and anxiety is unknown. Here, we demonstrated significant upregulation of PKG-I in ipsilateral L3 dorsal root ganglia (DRG), no change in L4 DRG, and downregulation in L5 DRG upon spared nerve injury. Genetic ablation of PKG-I specifically in nociceptors or post-treatment with intervertebral foramen injection of PKG-I antagonist, KT5823, attenuated the development and maintenance of spared nerve injury-induced bilateral pain hypersensitivity and anxiety. Mechanistic analysis revealed that activation of PKG-I in nociceptors is responsible for synaptic potentiation in the anterior cingulate cortex upon peripheral neuropathy through presynaptic mechanisms involving brain-derived neurotropic factor signaling. Our results revealed that PKG-I expressed in nociceptors is a key determinant for cingulate synaptic plasticity after nerve injury, which contributes to the maintenance of pain hypersensitivity and anxiety. Thereby, this study presents a strong basis for opening up a novel therapeutic target, PKG-I, in nociceptors for treatment of comorbidity of neuropathic pain and anxiety with least side effects.